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20242026
most citedCompressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

2 citations · 5 across the 5 of their papers we have counts for

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eess.IV2024★ 2 cited

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function

Ismail Erbas, Vikas Pandey, Navid Ibtehaj Nizam +4

Fluorescence Lifetime Imaging (FLI) is a critical molecular imaging modality that provides unique information about the tissue microenvironment, which is invaluable for biomedical…

eess.IV2024★ 2 cited

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

Ismail Erbas, Vikas Pandey, Aporva Amarnath +4

Fluorescence lifetime imaging (FLI) is an important technique for studying cellular environments and molecular interactions, but its real-time application is limited by slow data a…